일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
- List
- python
- SSH
- Unity
- sqlite
- pandas
- sql
- null
- conda
- postgresql
- dataframe
- awk
- expect
- autovacuum
- 쉘
- mysql
- C++
- pi
- 배열
- ngui
- DROP
- ubuntu
- boost
- Shader
- c++11
- Eclipse
- FIND
- with
- SVN
- if
- Today
- Total
목록python (25)
その先にあるもの…
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816..
http://pandas.pydata.org/pandas-docs/stable/api.html#function-application-groupby-window 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108import pandasimport numpy df = pandas.DataFrame( [[1.4,numpy.nan],[7.1,-4.5], [numpy.nan,nump..
1234567891011121314151617181920212223242526272829303132333435363738394041import pandasimport numpy obj = pandas.Series(range(5), index=['a','a','b','b','c'])print(obj)a 0a 1b 2b 3c 4dtype: int32 #인덱스가 유일한 값인가?print(obj.index.is_unique)False print( obj['a'] )a 0a 1dtype: int32 print( obj['c'] )4 df = pandas.DataFrame(numpy.random.randn(4,3), index=['a','a','b','b'])print( df ) 0 1 2a -0.521630 -0..
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139import pandasimport numpy obj = pandas.Series( range(4), index=['d','a','b','c'] )print(o..
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849import pandasimport numpy frame = pandas.DataFrame( numpy.random.randn(4,3), columns = list('bde'), index=['utah','ohio','texas','oregon'] ) f = lambda x : x.max() - x.min() print( frame.apply(f) )b 2.511097d 2.642278e 2.627046dtype: float64 print( frame.apply(f, axis=1) )utah 1.174831ohio 4.127525texas 1.51..
import csv #readwith open( 파일이름, 'r') as f: csvfile = csv.reader(f) for row in csvfile: csvDic.update( { int(row[0]) : row[1:] } ) #writewith open( 파일이름, 'wt') as f: cw = csv.writer( f, delimiter=',' , lineterminator="\n" ) try: cw.writerows( csvDic ) except: for key in csvDic.keys(): cw.writerow( [ key, csvDic[key] ] )